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Improved electrocardiosignal noise reduction method based on singular spectrum analysis

A technology for electrocardiographic signals and electrical signals, which is applied in the field of noise reduction processing of electrocardiographic signals, and can solve problems such as difficulty in removing noise.

Active Publication Date: 2021-07-30
FUDAN UNIV
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  • Claims
  • Application Information

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Problems solved by technology

However, the application in the field of ECG signal noise reduction needs to be further explored. For example, it is difficult to remove noise such as baseline drift and power frequency interference; how to choose the number of reconstruction components for superposition is also a difficult problem.

Method used

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  • Improved electrocardiosignal noise reduction method based on singular spectrum analysis
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  • Improved electrocardiosignal noise reduction method based on singular spectrum analysis

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Embodiment 1

[0038] Embodiment 1: apply a kind of improved electrocardiographic signal denoising method based on singular spectrum analysis of the present invention to the electrocardiographic signal (ECG) that adds 10dB Gaussian white noise, its flow process is as follows figure 1 Shown; The data of present embodiment comes from open database MIT-BIH Arrhythmia Database; Workflow is as follows:

[0039] (1) Select a 10s segment in the record numbered 100 in the MIT-BIH Arrhythmia Database, with a sampling rate of 360 Hz, and preprocess it using filtering and other methods to make the original signal as clean as possible; the obtained clean ECG Signal such as figure 2 As shown in (a); add 10dB Gaussian white noise to the obtained original clean ECG signal, and the noisy signal obtained after adding noise is as follows figure 2 as shown in (b);

[0040] (2) For the 10s noisy signal segment obtained in step (1), set the window length L to 90, map the original ECG signal with a data lengt...

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Abstract

The invention relates to an improved electrocardiosignal noise reduction method based on singular spectrum analysis. The method specifically comprises the following steps: selecting a proper window length for electrocardiosignals to construct a track matrix, and carrying out singular value decomposition; calculating a signal reconstruction component corresponding to each singular value, and removing a trend term from the first reconstruction component by adopting a low-order polynomial fitting method; adopting a wave trap to remove power frequency interference in each reconstruction component; calculating an absolute value of a correlation coefficient between the reconstruction components and comparing the absolute value with a threshold value to select an effective signal component; and finally, superposing the effective signal components to obtain a denoised electrocardiosignal. The method is driven by data, does not need reference input, is suitable for removing Gaussian white noise, baseline drift, myoelectricity interference, power line noise and other noise, and can improve the subsequent signal analysis effect. According to the method, the signal distortion degree is small, noise reduction can be well achieved under the condition of the low signal-to-noise ratio, and the method can be popularized to noise reduction of one-way or multi-way other physiological signals.

Description

technical field [0001] The invention relates to noise reduction processing of electrocardiographic signals, in particular to an improved method for reducing noise of electrocardiographic signals based on singular spectrum analysis. Background technique [0002] Body surface electrocardiogram is the waveform of cardiac electrical activity on standardized leads recorded through body surface electrodes and acquisition equipment. It contains rich physiological and pathological information and is considered to be an important physiological signal of the human body. The electrocardiogram can reflect the physiological conditions of various parts of the heart of the subject, and is one of the important basis for evaluating heart function and predicting heart disease. [0003] The ECG signal itself is very weak, usually the maximum amplitude does not exceed 5mV, and it is very susceptible to various interferences during the acquisition process, such as baseline drift caused by human ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/318A61B5/00
CPCA61B5/7203A61B5/7225
Inventor 杨翠微丁小曼
Owner FUDAN UNIV
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